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Recent Jobs
Digital Customer Success Product Manager
BEDI PartnershipsAustin, TX
Join Udemy. Help define the future of learning. Udemy is an AI-powered skills acceleration platform built to help people and teams grow. It’s personalized, practical, and focused on real-world impact. Our mission is simple: to transform lives through learning. Your work helps people around the world build skills they can use, whether they’re picking up something new or leveling up to stay ahead. Over 80 million learners and 17,000 businesses already learn with Udemy. If you’re excited by change, energized by learning, and ready to have a real impact, you’ll feel right at home. Learn more about us on our company page . Where we Work Udemy is a global company headquartered in San Francisco, with additional U.S. offices in Denver and Austin, and international hubs in Australia, India, Ireland, Mexico, and Türkiye. T his is an in-office position, requiring three days a week in the office (Tuesday, Wednesday, Thursday) and flexibility on Mondays and Fridays . About Your Skills Product Management: You excel at overseeing the planning, development, launch, and lifecycle management of products, ensuring they meet market needs and align with business strategy while driving measurable outcomes for customers. Innovation: You demonstrate the ability to generate and implement creative solutions, leverage emerging technologies, and drive continuous improvement initiatives that enhance customer success outcomes and business value. Customer Experience (CX): You have a deep understanding of how to enhance consumer satisfaction by managing and optimizing customer interactions throughout all stages of their journey, creating positive experiences that drive retention and growth. Customer Relationship Management (CRM): You are skilled at managing customer interactions, analyzing behavioral data, and utilizing various communication channels to enhance satisfaction, drive engagement, and support revenue growth. Customer Engagement: You excel at building meaningful interactions with customers through multiple touchpoints, fostering long-term relationships that encourage loyalty, advocacy, and sustained success with our platform. Business Systems: You understand how to work with business systems teams to design, implement, and optimize systems and processes that support organizational efficiency, enable scalable operations, and facilitate data-driven decision making across business functions. About This Role As a Digital Customer Success Product Manager, you will drive the development and optimization of digital products and experiences that enhance customer success outcomes. You will work at the intersection of product strategy and customer success, leveraging data insights to build scalable solutions that help customers achieve their goals while contributing to business growth. This role requires a deep understanding of customer needs, product development processes, and success metrics to create impactful digital experiences that drive customer satisfaction and retention. What You'll Be Doing Partner with customer success teams to identify pain points and opportunities for digital product improvements that enhance customer outcomes Develop and execute product roadmaps for digital customer success tools, features, and experiences based on customer feedback and data analysis Collaborate with engineering, design, and data teams to build and optimize digital touchpoints that drive customer engagement and success Analyze customer behavior data and success metrics to inform product decisions and measure the impact of digital initiatives Work cross-functionally with marketing, sales, and customer success teams to align product strategy with customer journey and business objectives Define and track key performance indicators for digital customer success products, ensuring alignment with customer and business goals Drive innovation by identifying emerging technologies and methodologies that can enhance customer success capabilities and outcomes Design and optimize business systems and processes that support scalable customer success operations and data-driven insights What You'll Have Proven experience in product management, customer success, or digital experience with a focus on customer-facing digital products or digital customer success initiatives Strong analytical skills with experience using data to drive product decisions and measure customer success outcomes Experience working with cross-functional teams including engineering, design, customer success, and marketing Demonstrated ability to translate customer needs and feedback into actionable product requirements and roadmaps Familiarity with customer success metrics, methodologies, and best practices for driving customer engagement and retention Experience with CRM platforms, customer data analysis, and digital customer engagement tools Strong communication and collaboration skills with the ability to influence stakeholders and align teams around shared goals Track record of launching and iterating on digital products that drive measurable improvements in customer satisfaction and business results Experience implementing innovative solutions and emerging technologies to solve complex customer success challenges Understanding of business systems design and process optimization to support scalable customer success operations At Udemy, we strive to be transparent around compensation. Actual compensation for this role is based on several factors, including but not limited to job-related skills, qualifications, experience, and specific work location due to differences in the cost of labor. In addition to a base salary, this role is also eligible for equity and a bonus. Hiring Compensation Range $130,000 — $162,000 USD Why work here? You’ll grow here. Learning is part of the job. You’ll get full access to Udemy courses, a monthly UDay to invest in yourself, and a budget to spend on whatever helps you improve. Many people are diving into AI lately, but what you focus on is up to you. AI is real here. We use it in the way we learn and the way we work. You’ll have the space and tools to experiment, apply, and get better at using AI in practical ways. You’ll own your work. We trust people to lead, make decisions, and follow through. You don’t need to wait for permission or layers of approval to have an impact. You’ll build with others. We collaborate openly and shape ideas together. Everyone has a voice, and good thinking is welcomed from any direction. You’ll see your impact. What you build helps people grow their skills, change their careers, or find a path forward. You’ve got the experience, why not use it to help others gain theirs? Bring your curiosity. We’ll bring the platform and the support. Let’s LEARN together. Our Benefits Start with U Our benefits start with you and were built to provide you and your family with the protection and care you need, making it easy to access the right coverage when you need it most. Benefits vary by region, and we encourage applicants to review our Australia Benefits, India Benefits, Ireland Benefits, Mexico Benefits , Turkiye Benefits & US Benefits, pages to get an understanding of some of the benefits we offer. For details on region-specific benefits, please refer to the information provided during the hiring process. Benefits outlined are provided as a general overview and may vary depending on the location, role, and employment classification. All benefits are subject to change at the discretion of the organization and in accordance with applicable laws and policies. At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. We understand that not everyone will match each of the qualifications. However, we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align, we'd love to hear from you! Information regarding data privacy is available within the Udemy Careers Privacy Notice .
ApplyEnterprise Customer Success Manager
BEDI PartnershipsDenver, CO
Join Udemy. Help define the future of learning. Udemy is an AI-powered skills acceleration platform built to help people and teams grow. It’s personalized, practical, and focused on real-world impact. Our mission is simple: to transform lives through learning. Your work helps people around the world build skills they can use, whether they’re picking up something new or leveling up to stay ahead. Over 80 million learners and 17,000 businesses already learn with Udemy. If you’re excited by change, energized by learning, and ready to have a real impact, you’ll feel right at home. Learn more about us on our company page . Where we Work Udemy is headquartered in San Francisco with other global offices in Australia, India, Ireland, Mexico, Türkiye and other US locations (Denver and Austin). This is an in-office position, requiring three days a week (Tuesday, Wednesday, Thursday) in the office and flexibility on Mondays and Fridays . About your Skills Critical Thinking- Your curiosity drives you to uncover core issues, enabling you to provide true solutions rather than surface-level fixes. You analyze and evaluate information objectively, consider multiple perspectives, and make reasoned judgments, demonstrating adaptability and a growth mindset in the face of change. Problem-solving- Your problem-solving prowess is evident in your ability to tackle challenges head-on. You don't shy away from obstacles; instead, you deconstruct them into manageable parts and methodically develop effective solutions. Your analytical nature allows you to navigate complexity with ease, ensuring that every problem is met with a well-considered response. Strategic Planning- Your strategic planning skills are a testament to your foresight and organizational acumen. You excel in crafting detailed plans and roadmaps that align with organizational objectives. By anticipating future trends and potential hurdles, you ensure that your strategies are not only aligned with the overall vision but are also adaptable to changing circumstances. Leadership- Your leadership capabilities shine through in your ability to inspire and motivate those around you. You foster a collaborative environment where teamwork thrives, and you align your team towards a shared strategic vision. Your influence extends beyond direction; you cultivate an atmosphere of trust and mutual respect, driving collective success. Business Acumen- Your business acumen reflects a deep understanding of how companies operate and thrive. You possess an intricate knowledge of financial, operational, and marketing aspects, allowing you to make informed decisions that drive success. Your awareness of market trends and the competitive landscape positions you as a strategic thinker who navigates the business environment with confidence. About this role We are looking for an Enterprise Customer Success Manager to partner with our mid sized business customers post-sale to drive adoption and ensure customer growth and retention. As an Enterprise Customer Success Manager, you will work closely with customers to execute learning strategies and drive product adoption to help our customers achieve their most important business outcomes. Managing a portfolio of up to 30 accounts, you’ll provide high-touch support to your largest customers and focus on improving account health and mitigation risk across your book of business. What you'll be doing: Manage a portfolio of up to 30 accounts with a mix of high-touch and digital touch across your book of business. Launch and train new customers, ensuring smooth onboarding and platform adoption. Create and implement internal promotion programs within customer organizations to drive awareness and usage. Build and maintain executive-level relationships as a trusted advisor. Provide expert consultation and work with customers to develop their internal learning strategy to achieve their customers’ most important business outcomes. Identify expansion opportunities and risk across your accounts to ensure high retention rates. What you’ll have 4-5+ years of B2B SaaS customer success, account management, consulting and/or sales experience Experience driving toward a revenue or renewal target and working with mid-market and enterprise level accounts Experience working with HR/L&D customers would be a plus, but not required Ability to travel up to 30% to facilitate in-person Partnership Planning Workshops, Executive Business Reviews, strategic planning meetings, or customer events. Posting Date: February 10th, 2025 Application Window: We anticipate the application window will be open until February 27th, 2026. Based on business needs, this opportunity may remain posted beyond or closed before the anticipated application window. At Udemy, we strive to be transparent around compensation. Actual compensation for this role is based on several factors, including but not limited to job-related skills, qualifications, experience, and specific work location due to differences in the cost of labor. In addition to a base salary, this role is also eligible for equity. Hiring Compensation Range $88,400 — $110,500 USD Why work here? You’ll grow here. Learning is part of the job. You’ll get full access to Udemy courses, a monthly UDay to invest in yourself, and a budget to spend on whatever helps you improve. Many people are diving into AI lately, but what you focus on is up to you. AI is real here. We use it in the way we learn and the way we work. You’ll have the space and tools to experiment, apply, and get better at using AI in practical ways. You’ll own your work. We trust people to lead, make decisions, and follow through. You don’t need to wait for permission or layers of approval to have an impact. You’ll build with others. We collaborate openly and shape ideas together. Everyone has a voice, and good thinking is welcomed from any direction. You’ll see your impact. What you build helps people grow their skills, change their careers, or find a path forward. You’ve got the experience, why not use it to help others gain theirs? Bring your curiosity. We’ll bring the platform and the support. Let’s LEARN together. Our Benefits Start with U Our benefits start with you and were built to provide you and your family with the protection and care you need, making it easy to access the right coverage when you need it most. Benefits vary by region, and we encourage applicants to review our Australia Benefits, India Benefits, Ireland Benefits, Mexico Benefits , Turkiye Benefits & US Benefits, pages to get an understanding of some of the benefits we offer. For details on region-specific benefits, please refer to the information provided during the hiring process. Benefits outlined are provided as a general overview and may vary depending on the location, role, and employment classification. All benefits are subject to change at the discretion of the organization and in accordance with applicable laws and policies. At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. We understand that not everyone will match each of the qualifications. However, we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align, we'd love to hear from you! Information regarding data privacy is available within the Udemy Careers Privacy Notice .
ApplyCustomer Success Specialist, Pooled
BEDI PartnershipsDenver, CO
Join Udemy. Help define the future of learning. Udemy is an AI-powered skills acceleration platform built to help people and teams grow. It’s personalized, practical, and focused on real-world impact. Our mission is simple: to transform lives through learning. Your work helps people around the world build skills they can use, whether they’re picking up something new or leveling up to stay ahead. Over 80 million learners and 17,000 businesses already learn with Udemy. If you’re excited by change, energized by learning, and ready to have a real impact, you’ll feel right at home. Learn more about us on our company page . Where we Work Udemy is a global company headquartered in San Francisco, with additional U.S. offices in Denver and Austin, and international hubs in Australia, India, Ireland, Mexico, and Türkiye. This is an in-office position, requiring three days a week in the office (Tuesday, Wednesday, Thursday) and flexibility on Mondays and Fridays . About Your Skills Consultative customer service: You excel at diagnosing customer needs and blockers, providing appropriate solutions, and driving toward mutual accountability for action that enhances overall engagement and value. You think critically as you prepare for every call and are quick on your feet live. You meet customers where they are to demonstrate success in terms they value, can coach toward ROI and business impact, helping customers realize the full potential of their investment in Udemy's learning solutions. Revenue protection: You are passionate about enhancing customer satisfaction and success with products and services to reduce churn and increase expansion opportunities. You have sharp business acumen and are consistently great at proactively identifying risks and opportunities. You are acutely aware of the relationship between successfully leading customers toward their desired learning objectives and revenue outcomes. Tech-forward, systems-minded: You don’t limit your thinking to how to deliver outcomes for customers via conversation; you also lean into innovative, technical solutions to help scale success. You gravitate toward AI, scalable systems, processes, and self-serve solutions to support customer outcomes. Data-driven: Whether you’re preparing for a customer value review or building out a playbook that can impact thousands of customers, data is at the center of shaping how you learn about customers, how you make recommendations for what happens next, and how you prove impact. About This Role As a Customer Success Manager for our Pooled customer service segment, you will be responsible for executing consultative sessions that drive engagement, prove value, and protect revenue. In our inaugural year for a Pooled service model, you will have the opportunity to design, test, and iterate with leadership. This role offers access to work with diverse customers across various industries and countries in North America, helping Udemy deliver learning outcomes and business impact through our platform. You will play a critical role in driving customer retention, expansion, and advocacy within the region. What You'll Be Doing • Execute on engagement sessions and support our North America customers, ensuring they derive concrete value from every touchpoint with us in support of their learning and business outcomes • Ensure that we are looking around corners to mitigate risk and identify opportunities with each customer interaction • Collaborate effectively with cross-functional teams such as Sales, Renewals, and Support to drive revenue outcomes and improve the customer experience • Work with leaders in support of our digital and programmatic strategies. You will pattern match and make recommendations for how we iterate on key milestone meeting offerings, and design playbooks for the broader Pooled Customer Success team. • Analyze customer usage data and engagement metrics to proactively identify at-risk accounts and expansion opportunities. • Advocate for customer needs internally and provide feedback to Product What You'll Have • 3+ years of experience in customer success, account management, or client-facing roles, preferably in SaaS or technology • Proven ability to deliver value to customers in consultative settings and work through ambiguity and/or absence of robust client information • Strong analytical skills with experience using data to drive decisions and identify trends, and recommend and execute on scalable solutions • Experience with CRM systems and customer success platforms • Strong communication and presentation skills, both written and verbal • Consistent discipline around data hygiene and documentation of customer interactions • Results-oriented mindset with a track record of meeting or exceeding customer success metrics At Udemy, we strive to be transparent around compensation. Actual compensation for this role is based on several factors, including but not limited to job-related skills, qualifications, experience, and specific work location due to differences in the cost of labor. In addition to a base salary, this role is also eligible for equity and a bonus. Hiring Compensation Range $70,000 — $87,000 USD Why work here? You’ll grow here. Learning is part of the job. You’ll get full access to Udemy courses, a monthly UDay to invest in yourself, and a budget to spend on whatever helps you improve. Many people are diving into AI lately, but what you focus on is up to you. AI is real here. We use it in the way we learn and the way we work. You’ll have the space and tools to experiment, apply, and get better at using AI in practical ways. You’ll own your work. We trust people to lead, make decisions, and follow through. You don’t need to wait for permission or layers of approval to have an impact. You’ll build with others. We collaborate openly and shape ideas together. Everyone has a voice, and good thinking is welcomed from any direction. You’ll see your impact. What you build helps people grow their skills, change their careers, or find a path forward. You’ve got the experience, why not use it to help others gain theirs? Bring your curiosity. We’ll bring the platform and the support. Let’s LEARN together. Our Benefits Start with U Our benefits start with you and were built to provide you and your family with the protection and care you need, making it easy to access the right coverage when you need it most. Benefits vary by region, and we encourage applicants to review our Australia Benefits, India Benefits, Ireland Benefits, Mexico Benefits , Turkiye Benefits & US Benefits, pages to get an understanding of some of the benefits we offer. For details on region-specific benefits, please refer to the information provided during the hiring process. Benefits outlined are provided as a general overview and may vary depending on the location, role, and employment classification. All benefits are subject to change at the discretion of the organization and in accordance with applicable laws and policies. At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. We understand that not everyone will match each of the qualifications. However, we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align, we'd love to hear from you! Information regarding data privacy is available within the Udemy Careers Privacy Notice .
ApplyStaff Data Scientist, Experimentation Platform
Robinhood FinancialMenlo Park, CA
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Experimentation Platform team at Robinhood builds the systems and infrastructure that power our company-wide experimentation efforts. Our mission is to enable rapid, trustworthy, and statistically sound experimentation at scale, empowering teams to learn quickly and make confident decisions. The team’s work has a direct impact on product velocity and business outcomes, driving a culture of data-informed innovation across Robinhood. As a Staff Data Scientist on the Experimentation Platform team, you will play a key role in shaping the statistical foundations of our experimentation systems. You'll collaborate closely with engineering, product, and data teams to advance best practices in A/B testing, improve experiment velocity, and build capabilities that help Robinhood scale experimentation effectively. This is a high-impact role with the opportunity to define how we learn and iterate across our products. This role is based in our Menlo Park office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Evaluate current experimentation practices across Robinhood and identify areas for improvement. Enhance statistical methodologies underpinning the experimentation platform, including A/B testing and advanced techniques. Partner with engineering to build scalable tools and infrastructure for experimentation. Develop and evangelize best practices for experimentation across cross-functional teams. Consult with data science and product teams to ensure rigorous experimental design and interpretation. Contribute to roadmap planning by identifying high-leverage opportunities for platform development. What you bring Master’s or PhD in a quantitative field (e.g., statistics, economics, mathematics, engineering, natural sciences). 6+ years of experience with A/B testing, causal inference, experimental design, and statistical analysis in a tech environment. Deep expertise in statistical methods such as multivariate testing, adaptive experimentation, bayesian inference and machine learning techniques. Proficiency in Python or R for data analysis and experimentation workflows. Strong communication skills, a collaborative mindset, and a proactive approach to problem-solving. Experience contributing to or building experimentation tooling is a plus. What we offer Challenging, high-impact work to grow your career Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more Employer-paid life & disability insurance, fertility benefits, and mental health benefits Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $217,000 — $255,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $191,000 — $224,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $170,000 — $199,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
ApplySoftware Engineer, Data Governance
Robinhood FinancialBellevue, WA
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Data Governance team’s mission is to protect and responsibly manage customer data across Robinhood, ensuring trust, transparency, and compliance in every data flow. We enable safe and compliant use of data across AI/ML systems and core infrastructure, embedding privacy and governance into how products are built. As regulatory expectations evolve and AI innovation accelerates, the team plays a critical role in advancing Robinhood’s responsible AI roadmap and supporting global growth. As a Software Engineer on this team, you’ll develop backend systems that monitor and govern how data is used across our platform. You’ll work on high-impact initiatives like GDPR readiness, AI/ML governance, and cross-functional enforcement of data compliance. This is a critical role, enabling safe AI innovation at Robinhood! This role is based in our Bellevue, WA office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Design and build backend services and automation frameworks that instrument, govern, and enforce data usage, retention, and access policies across Robinhood’s online and analytical systems. Partner with AI/ML, Risk, and Privacy teams to operationalize governance and compliance in emerging AI systems, including ML Models and Agentic AI workflows Enable governance Robinhood’s offline analytical systems and new data infrastructure workflows Build internal tools and automation that strengthen our enterprise data governance posture by enabling auditability, data integrity, and privacy respecting design across our infrastructure Own end-to-end delivery of governance solutions from design and prototyping to production deployment driving measurable impact in data reliability, compliance readiness, and trust What you bring Strong coding and problem-solving skills with proficiency in Python or Go (or similar languages) Experience with server-side frameworks such as Django or GoLang Familiarity with Kubernetes, AWS, and cloud-native development Excellent communication skills with a proven ability to work cross-functionally Curiosity and drive to navigate complex systems, regulatory requirements, and fast-changing technology What we offer Challenging, high-impact work to grow your career. Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching. Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents. Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more. Employer-paid life & disability insurance, fertility benefits, and mental health benefits. Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $166,000 — $195,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $147,000 — $172,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $130,000 — $152,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
ApplySenior Software Engineer, Data Engineering
Robinhood FinancialMenlo Park, CA
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. Robinhood is a metrics driven company and data is foundational to all key decisions from growth strategy to product optimization to our day-to-day operations. We are looking for a Senior Data Engineer to build and maintain foundational datasets that will allow us to reliably and efficiently power decision making at Robinhood. These datasets include application events, database snapshots, and the derived datasets that describe and track Robinhood's key metrics across all products. You’ll partner closely with engineers, data scientists and business teams to power analytics, experimentation, and machine learning use cases. We are a fast-paced team in a fast growing company and this is a unique opportunity to help lay the foundation for reliable, impactful, data-driven decisions across the company for years to come. This role is based in our Menlo Park, CA office, with in-person attendance expected at least 3 days per week. What you’ll do Help define and build key datasets across all Robinhood product areas. Lead the evolution of these datasets as use cases grow. Build scalable data pipelines using Python, Spark and Airflow to move data from different applications into our data lake. Partner with upstream engineering teams to enhance data generation patterns. Partner with data consumers across Robinhood to understand consumption patterns and design intuitive data models. Ideate and contribute to shared data engineering tooling and standards. Define and promote data engineering best practices across the company. What you bring 5+ years of professional experience building end-to-end data pipelines Hands-on software engineering experience, with the ability to write production-level code in Python for user-facing applications, services, or systems (not just data scripting or automation). Expert at building and maintaining large-scale data pipelines using open source frameworks (Spark, Flink, etc) Strong SQL (Presto, Spark SQL, etc) skills. Experience solving problems across the data stack (Data Infrastructure, Analytics and Visualization platforms) Expert collaborator with the ability to democratize data through actionable insights and solutions. What we offer Market competitive and pay equity-focused compensation structure 100% paid health insurance for employees with 90% coverage for dependents Annual lifestyle wallet for personal wellness, learning and development, and more! Lifetime maximum benefit for family forming and fertility benefits Dedicated mental health support for employees and eligible dependents Generous time away including company holidays, paid time off, sick time, parental leave, and more! Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $196,000 — $230,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $172,000 — $202,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $153,000 — $179,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
ApplyStaff Data Scientist - Algorithms
Robinhood FinancialMenlo Park, CA
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Incentives Data Science team sits at the intersection of Product, Marketing, Finance and Machine Learning. Our mission is to enable sustainable, data-driven growth by building modeling, measurement, and optimization systems that drive activation, retention, and revenue at scale. We partner closely with cross-functional teams across Robinhood to design, evaluate, and operationalize incentive programs that efficiently acquire, activate, and retain customers. As a Staff Data Scientist, Incentives , you will lead the end-to-end design, optimization, and evolution of Robinhood’s incentive systems. You’ll build predictive and causal ML models, design experimentation frameworks, and develop decisioning and allocation algorithms that directly influence how millions of users engage with Robinhood. This is a rare opportunity to own highly impactful ML systems while shaping incentive strategy at company scale! This role is based in our Menlo Park, CA office, with in-person attendance expected at least 3 days per week . At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Build, deploy, and iterate on predictive and causal models for incentive targeting Design and evaluate experiments to measure incremental impact, payback, and ROI of promotional programs Partner cross-functionally with Product, Finance, Marketing, and Engineering to inform scalable incentive strategies Design and optimize incentive allocation algorithms under budget and policy constraints to maximize incremental impact Monitor production systems, analyze user behavior, and propose algorithmic and policy improvements Influence the long-term vision for growth modeling at Robinhood, including personalization and cross-sell optimization What you bring 7+ years of experience applying ML in production, ideally in growth, incentives, marketplace, or personalization domains Proven track record owning models end-to-end — from design and development to deployment and iteration Deep expertise in predictive modeling, uplift modeling, causal inference, and experimentation design Strong technical skills in Python, SQL, and ML frameworks (e.g., scikit-learn, XGBoost, PyTorch or TensorFlow) Experience working with Airflow and production pipelines, as well as tools for causal ML and experimentation Excellent product intuition and ability to translate ambiguous goals into measurable algorithmic solutions Strong communication and stakeholder management skills, with the ability to influence across teams A collaborative and growth-minded approach, with strong technical leadership and a consistent focus on impact and ROI What we offer Challenging, high-impact work to grow your career Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents Lifestyle wallet – a highly flexible benefits spending account for wellness, learning, and more Employer-paid life & disability insurance, fertility benefits, and mental health benefits Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $217,000 — $255,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $191,000 — $224,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $170,000 — $199,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
ApplyData Scientist, Product
Robinhood FinancialNew York, NY
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. Brokerage products are the bread and butter of Robinhood. The Brokerage team is fast-paced, dynamic, and deeply collaborative, driving innovation across our suite of brokerage products. As a Senior Data Scientist on the Data Science team, you'll be part of a high-impact, multi-functional group working closely with partners across product, engineering, user research, design, marketing, finance, and operations. Together, you’ll unlock the power of data to shape the future of our brokerage business and deliver outstanding value to our customers. We’re looking for a dedicated and ambitious data science leader to help us accelerate product growth through world-class experimentation, analysis, and data-informed strategy. Your work will directly influence the roadmap, uncover new opportunities, and improve the trading experience for millions of users. This role is based in our New York office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Perform deep-dive analyses to identify product growth opportunities and drive improvements in core business metrics. Design, plan, implement, and analyze A/B experiments, and conduct causal inference analysis to evaluate product changes. Define and maintain key product performance metrics; build scalable dashboards to monitor these metrics and advise decision-making. Build compelling data visualizations and narratives to effectively communicate insights and recommendations to multi-functional partners, collaborators, and senior leadership. Lead and implement large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable business impact. Partner closely with Product, Engineering, Operations, and other multi-functional teams to integrate data-driven decision-making into product and business processes. Assist with established methods, standard approaches, and promote a data-informed culture within the organization. What you bring Proven expertise in data science, with a strong background in statistical analysis and machine learning. Outstanding problem-solving skills and the ability to think critically and creatively. Strong programming skills in Python & SQL, or other relevant languages. Experience with data visualization tools and techniques. Ability to successfully implement projects and compete in a fast-paced environment. PhD or master’s degree in a quantitative field such as mathematics, statistics, engineering or natural sciences and at least 6-10 years of experience developing and deploying predictive models. What we offer Challenging, high-impact work to grow your career Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more Employer-paid life & disability insurance, fertility benefits, and mental health benefits Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $179,000 — $210,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $157,000 — $185,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $139,000 — $164,000 USD In addition to the base pay range listed below, this role is also eligible for bonus opportunities + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed. Base Pay Range: Toronto, ON $110,500 — $130,000 CAD In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed. Base Pay Range: Toronto, ON $110,500 — $130,000 CAD Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected hourly range for this role is based on the location where the work will be performed. Toronto, ON $110,500 — $130,000 CAD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
ApplySenior Data Scientist, Fraud
Robinhood FinancialMenlo Park, CA
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Fraud Data Science team safeguards Robinhood and its customers by detecting and preventing fraud and abuse across our platform. We leverage machine learning and analytics to combat malicious behavior in real time, supporting a safe and trusted experience for all users. Our work has direct impact on customer security, company risk posture, and regulatory compliance. As a Senior Data Scientist on the Fraud team, you will own the design and deployment of ML solutions that proactively surface suspicious activity, reduce financial loss, and improve fraud detection precision. You’ll collaborate closely with engineering, product, risk, and compliance partners to influence system architecture, shape policy through data, and enhance the safety and integrity of our platform. This role is based in our Menlo Park office(s), with in-person attendance expected at least 3 days per week . At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Design and deploy fraud detection models to protect Robinhood users and assets in real time Analyze behavioral data to uncover emerging fraud vectors and support rapid incident response Develop robust data pipelines and monitoring systems to ensure model accuracy and reliability Partner with engineering and product teams to implement safeguards and user-facing features Guide experimentation strategy and contribute to long-term fraud prevention roadmap What you bring 5+ years of experience in data science or applied ML, with a focus on fraud detection or risk mitigation Advanced proficiency in Python and SQL; experience with ML frameworks like XGBoost, LightGBM, or TensorFlow Strong statistical acumen with experience in anomaly detection, pattern recognition, and A/B testing Excellent communication skills and ability to influence decision-making across technical and non-technical audiences A collaborative mindset and proactive approach to navigating ambiguity in fast-paced environments What we offer Challenging, high-impact work to grow your career Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more Employer-paid life & disability insurance, fertility benefits, and mental health benefits Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $187,000 — $220,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $165,000 — $194,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $146,000 — $172,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
ApplySenior Data Science Manager, Algorithms
Robinhood FinancialMenlo Park, CA
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. As the Data Science Manager for the Crypto team, you will lead a high-impact team delivering insights, models, and strategies that shape Robinhood’s crypto product roadmap and growth. This role partners cross-functionally with product, engineering, and executive leadership to ensure data is at the core of our strategic decisions. Learn more about what the crypto team is up to here . This role is based in our Menlo Park, CA office, with in-person attendance expected at least 4 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Lead, mentor, and scale a team of data scientists and analytics engineers working across product and ML domains Partner closely with Crypto product, engineering, finance, and research teams to drive key initiatives such as international expansion, pro trader growth, and Wallet app adoption Deliver robust, data-driven recommendations and analyses to shape product direction, with a focus on stock tokens, perpetuals, and blockchain opportunities Foster a culture of excellence in analytics, experimentation, and impact within your team Represent Crypto Data Science in cross-functional leadership forums and contribute to overall Crypto org strategy What you bring 7+ years of experience in data science, including at least 2+ years of people management Deep experience with Python and SQL in a production or analytics environment Proven success in product data science roles, with a track record of delivering strategic insights and scalable solutions Strong understanding of the crypto ecosystem, with 3–4 years of direct experience highly preferred Executive presence, cross-functional influence, and outstanding communication skills Leadership expectations Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them: Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech. Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly. Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity. What we offer Challenging, high-impact work to grow your career. Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching. Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents. Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more. Employer-paid life & disability insurance, fertility benefits, and mental health benefits. Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $247,000 — $290,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $247,000 — $290,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $247,000 — $290,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
ApplySenior Data Scientist, Product
Robinhood FinancialMenlo Park, CA
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. Brokerage products are the bread and butter of Robinhood. The Brokerage team is fast-paced, dynamic, and deeply collaborative, driving innovation across our suite of brokerage products. As a Senior Data Scientist on the Data Science team, you'll be part of a high-impact, multi-functional group working closely with partners across product, engineering, user research, design, marketing, finance, and operations. Together, you’ll unlock the power of data to shape the future of our brokerage business and deliver outstanding value to our customers. We’re looking for a dedicated and ambitious data science leader to help us accelerate product growth through world-class experimentation, analysis, and data-informed strategy. Your work will directly influence the roadmap, uncover new opportunities, and improve the trading experience for millions of users. This role is based in our Menlo Park office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Perform deep-dive analyses to identify product growth opportunities and drive improvements in core business metrics. Design, plan, implement, and analyze A/B experiments, and conduct causal inference analysis to evaluate product changes. Define and maintain key product performance metrics; build scalable dashboards to monitor these metrics and advise decision-making. Build compelling data visualizations and narratives to effectively communicate insights and recommendations to multi-functional partners, collaborators, and senior leadership. Lead and implement large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable business impact. Partner closely with Product, Engineering, Operations, and other multi-functional teams to integrate data-driven decision-making into product and business processes. Assist with established methods, standard approaches, and promote a data-informed culture within the organization. What you bring Proven expertise in data science, with a strong background in statistical analysis and machine learning. Outstanding problem-solving skills and the ability to think critically and creatively. Strong programming skills in Python & SQL, or other relevant languages. Experience with data visualization tools and techniques. Ability to successfully implement projects and compete in a fast-paced environment. PhD or master’s degree in a quantitative field such as mathematics, statistics, engineering or natural sciences and at least 6-10 years of experience developing and deploying predictive models. What we offer Challenging, high-impact work to grow your career Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more Employer-paid life & disability insurance, fertility benefits, and mental health benefits Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $179,000 — $210,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $157,000 — $185,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $139,000 — $164,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
ApplyCustomer Experience Associate, Pathway
Robinhood FinancialWestlake, TX
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The CXR Pathway Program serves as an entry point for diverse talent to build a career in financial services! The program is designed to help you build foundational knowledge and gain confidence to attain the required FINRA SIE, Series 7, and Series 63 licenses to become a registered broker alongside your cohort. We demonstrate strong customer focus across a wide range of needs, from simple to complex, via chat, email, and phone channels. As a member of this team, you'll be the company's voice and will use exceptional empathy and product expertise to ensure our users feel understood and valued. Your job is not only to help our customers, but to help us learn as a company from each interaction—so we can make our customers' experience as seamless as possible. This role is based in our Westlake, TX office, with in-person attendance expected at least 5 days per week for the duration of your onboarding, which could be for 6 or more months. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. Applications for this role will be accepted on a rolling basis, meaning the posting may close once positions are filled. Please connect with your recruiter for more information about this role’s application window. What you’ll do Participate in the CXR Pathway Program, including: Introduction to licensing with paid study time Foundational training and proficiency Completion of licensing Registered Representative training and proficiency Transition into team alignment and production, which includes: Delivering an outstanding customer experience through chat, email, and phone Acting as the voice of the customer by identifying and sharing feedback for service improvements Growing financial services expertise and developing proficiency in a range of financial concepts What you bring Self-starter and ambitious learner comfortable in a fast-paced, evolving support environment Ability to embrace skill development through coaching, feedback, and goal setting Bachelor’s degree or relevant experience in financial services preferred Commitment and resilience to achieve licensing and Registered Representative proficiency over 26 weeks Strong independent judgment, adaptability, and ability to prioritize in a multi-task environment Excellent verbal and written communication skills with a passion for customer support Comfort providing support across channels including phone and written formats Ability to defuse customer anxiety and deliver outstanding service Willingness to work flexible schedules, including evenings and weekends, as needed Existing FINRA SIE license preferred Prior experience in customer support preferred What we offer Challenging, high-impact work to grow your career. Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching. Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents. Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more. Employer-paid life & disability insurance, fertility benefits, and mental health benefits. Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected hourly range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $23.10 — $23.10 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $23.10 — $23.10 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $22.05 — $22.05 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
Apply